2022 - Research.com Social Sciences and Humanities in Italy Leader Award
The scientist’s investigation covers issues in Technological change, Industrial organization, Productivity, Empirical evidence and Order. Mario Coccia interconnects Health care, Position and Market economy in the investigation of issues within Technological change. The study incorporates disciplines such as Agricultural system, Sample, Competitive advantage, Innovation management and Process in addition to Industrial organization.
Mario Coccia has researched Process in several fields, including Empirical research and Technological evolution. His Productivity research includes themes of Investment, Ceteris paribus and Agricultural economics. His work deals with themes such as R&D intensity, Government sector, Science policy and Political economy, which intersect with Order.
His primary scientific interests are in Technological change, Public research, Order, Industrial organization and Process. His Technological change research incorporates elements of Social change, Technological evolution, Population growth, Technical change and Economic system. His Technological evolution research is multidisciplinary, incorporating perspectives in Complex system, Analogy and Data science.
As part of the same scientific family, he usually focuses on Population growth, concentrating on Development economics and intersecting with Socioeconomic status. The various areas that Mario Coccia examines in his Industrial organization study include Technology management, Competitive advantage, Innovation management and Monopoly. Mario Coccia applies his multidisciplinary studies on Process and Context in his research.
Mario Coccia mostly deals with Technological change, Coronavirus disease 2019, Technological evolution, Pandemic and Process. Mario Coccia has included themes like Emerging technologies, Management science, Social change, Artifact and Complex system in his Technological change study. His research integrates issues of Industrial engineering, Industrial organization, Scale and Learning-by-doing in his study of Technological evolution.
His Industrial organization research is multidisciplinary, relying on both Empirical evidence, Operationalization, Underdevelopment, Competitive advantage and Innovation management. His Empirical evidence research integrates issues from Empirical research and Technology management. His work investigates the relationship between Process and topics such as Risk analysis that intersect with problems in Bounded rationality.
Mario Coccia focuses on Coronavirus disease 2019, Air pollution, Industrial organization, Pandemic and Severe acute respiratory syndrome coronavirus 2. His study in Coronavirus disease 2019 is interdisciplinary in nature, drawing from both Crisis management, Wind speed and Arithmetic mean. His research in Industrial organization intersects with topics in Empirical evidence and Technological evolution.
His research in Technological evolution intersects with topics in Technological change and Process. In his study, Competitive advantage and Innovation management is strongly linked to Empirical research, which falls under the umbrella field of Process. His studies deal with areas such as Demography and Case fatality rate as well as Pandemic.
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Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms
Technology Analysis & Strategic Management (2017)
Factors determining the diffusion of COVID-19 and suggested strategy to prevent future accelerated viral infectivity similar to COVID.
Science of The Total Environment (2020)
Evolution and convergence of the patterns of international scientific collaboration.
Mario Coccia;Mario Coccia;Lili Wang.
Proceedings of the National Academy of Sciences of the United States of America (2016)
What is the optimal rate of R&D investment to maximize productivity growth?
Technological Forecasting and Social Change (2009)
Political economy of R&D to support the modern competitiveness of nations and determinants of economic optimization and inertia
Mario Coccia;Mario Coccia.
Driving forces of technological change: The relation between population growth and technological innovation: Analysis of the optimal interaction across countries
Mario Coccia;Mario Coccia.
Technological Forecasting and Social Change (2014)
The interaction between public and private R&D expenditure and national productivity
Attitudes and behaviour of adopters of technological innovations in agricultural tractors: A case study in Italian agricultural system
Eugenio Cavallo;Ester Ferrari;Luigi Bollani;Mario Coccia;Mario Coccia.
Agricultural Systems (2014)
Democratization is the driving force for technological and economic change
Technological Forecasting and Social Change (2010)
General sources of general purpose technologies in complex societies: Theory of global leadership-driven innovation, warfare and human development
Mario Coccia;Mario Coccia.
Technology in Society (2015)
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